Zhangchi Zhu

11 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation.
CoRR
Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang
2025 — conf
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective.
KDD (1)
Zhangchi Zhu, Wei Zhang
2025 J jnl
Preference-Consistent Knowledge Distillation for Recommender System.
IEEE Trans. Knowl. Data Eng.
Zhangchi Zhu, Wei Zhang
2025 J jnl
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems.
CoRR
Zhangchi Zhu, Wei Zhang
2024 J jnl
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR
Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024 J jnl
Contrastive Learning with Negative Sampling Correction.
CoRR
Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024 J jnl
Exploring Feature-based Knowledge Distillation For Recommender System: A Frequency Perspective.
CoRR
Zhangchi Zhu, Wei Zhang
2024 J jnl
Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.
CoRR
Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang
2023 J jnl
From Input to Output: A Multi-layer Knowledge Distillation Framework for Compressing Recommendation Models.
CoRR
Zhangchi Zhu, Wei Zhang
2023 A* conf
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.
KDD
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023 J jnl
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.
CoRR
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski